Kling 2.6 Pro - Text to Video

Try Kling 2.6 Pro - Text to Video in the Workbench

Run this model interactively, tune parameters, and compare outputs.

Model ID: kling-video-v2-6-pro-text-to-video Kling 2.6 Pro - Text to Video is a video generation model. It excels in generating short 1080p videos from text prompts with optional native synchronized audio, including lip-sync, dialogue, sound effects, and ambient sounds, reducing the need for post-production editing compared to models that output silent clips. Some other noteworthy features of Kling 2.6 Pro - Text to Video include support for multiple aspect ratios (16:9, 9:16, 1:1), bilingual voice output (English/Chinese), image-to-video prompts, and Pro mode for higher detail.

Metric	Value
Parameter Count	Unknown
Mixture of Experts	Unknown
Context Length	Unknown
Multilingual	Yes
Quantized*	Unknown

*Quantization is specific to the inference provider and the model may be offered with different quantization levels by other providers.

Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.

Sync
Async
Async with SSE

This blocks until the video is ready (typically 5-15 minutes). Prefer Async or Async with SSE for anything beyond quick experimentation.See the video generation reference for more details.

Minimal
All parameters

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "kling-video-v2-6-pro-text-to-video",
  "prompt": "A close up of a blonde woman surfer in a wet suit, with a wave behind her, paddling to get momentum before standing up, on her stomach, looking back over her shoulder at the wave coming in."
}'

curl -X POST https://hub.oxen.ai/api/ai/videos/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "kling-video-v2-6-pro-text-to-video",
  "prompt": "A close up of a blonde woman surfer in a wet suit, with a wave behind her, paddling to get momentum before standing up, on her stomach, looking back over her shoulder at the wave coming in.",
  "negative_prompt": "blur, distort, and low quality",
  "aspect_ratio": "16:9",
  "duration": 5,
  "generate_audio": false,
  "cfg_scale": 0.5
}'

See the async queue reference for more details.

Minimal
All parameters

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "kling-video-v2-6-pro-text-to-video",
  "prompt": "A close up of a blonde woman surfer in a wet suit, with a wave behind her, paddling to get momentum before standing up, on her stomach, looking back over her shoulder at the wave coming in."
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "kling-video-v2-6-pro-text-to-video",
  "prompt": "A close up of a blonde woman surfer in a wet suit, with a wave behind her, paddling to get momentum before standing up, on her stomach, looking back over her shoulder at the wave coming in.",
  "negative_prompt": "blur, distort, and low quality",
  "aspect_ratio": "16:9",
  "duration": 5,
  "generate_audio": false,
  "cfg_scale": 0.5
}' | jq -r '.generations[0].generation_id')

# Poll the single generation until it 404s (terminal state).
while curl -s -o /dev/null -w "%{http_code}" \
    -H "Authorization: Bearer $OXEN_API_KEY" \
    "https://hub.oxen.ai/api/ai/queue/$GEN_ID" | grep -q "^200$"; do
  sleep 5
done
echo "Done. See the 'Async with SSE' tab to receive the result URL."

See the async queue reference for more details.

Minimal
All parameters

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "kling-video-v2-6-pro-text-to-video",
  "prompt": "A close up of a blonde woman surfer in a wet suit, with a wave behind her, paddling to get momentum before standing up, on her stomach, looking back over her shoulder at the wave coming in."
}' | jq -r '.generations[0].generation_id')

# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
  | awk -v id="$GEN_ID" '
    /^event: media_generation_completed$/ { expect=1; next }
    /^data: / && expect {
      payload = substr($0, 7)
      if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
      expect = 0
    }
  ' | jq .

# Enqueue, capture the generation id.
GEN_ID=$(curl -s -X POST https://hub.oxen.ai/api/ai/queue \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "kling-video-v2-6-pro-text-to-video",
  "prompt": "A close up of a blonde woman surfer in a wet suit, with a wave behind her, paddling to get momentum before standing up, on her stomach, looking back over her shoulder at the wave coming in.",
  "negative_prompt": "blur, distort, and low quality",
  "aspect_ratio": "16:9",
  "duration": 5,
  "generate_audio": false,
  "cfg_scale": 0.5
}' | jq -r '.generations[0].generation_id')

# Stream the SSE channel, grab the data line that follows a
# media_generation_completed event for our id, and pretty-print it.
curl -sN -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/events \
  | awk -v id="$GEN_ID" '
    /^event: media_generation_completed$/ { expect=1; next }
    /^data: / && expect {
      payload = substr($0, 7)
      if (index(payload, "\"generation_id\":\"" id "\"")) { print payload; exit }
      expect = 0
    }
  ' | jq .

Fetch model details

The models endpoint returns the full model object, including its json_request_schema.

curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/kling-video-v2-6-pro-text-to-video

Request parameters

Required parameters

Field	Type	Default	Description
`prompt`	`string`	`"A close up of a blonde woman surfer in a wet suit, with a wave behind her, paddling to get momentum before standing up, on her stomach, looking back over her shoulder at the wave coming in."`	Text description of what you want to generate, or the instruction on how to edit the given image.

Optional parameters

Field	Type	Default	Description
`negative_prompt`	`string`	`"blur, distort, and low quality"`	Text description of what you do not want the model to do.
`aspect_ratio`	`string`	`"16:9"`	Video aspect ratio One of: 9:16, 16:9, 1:1.
`duration`	`integer`	`5`	Video duration in seconds One of: 5, 10.
`generate_audio`	`boolean`	`false`	Generate audio with the video.
`cfg_scale`	`number`	`0.5`	The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt. Default value: 0.5 Range: 0 – 10.

Inference API

Try Kling 2.6 Pro - Text to Video in the Workbench

​Example request

​Fetch model details

​Request parameters

​Required parameters

​Optional parameters

Example request

Fetch model details

Request parameters

Required parameters

Optional parameters